Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

With the textile industry facing mounting scrutiny over the environmental impacts of fast fashion, two researchers from ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...

Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Abstract: Epileptic seizure prediction holds the potential to enhance the quality of life for individuals with epilepsy by enabling the possibility of timely administration of medication and first aid ...

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